Microplankton produced in the surface ocean during spring / summer blooms are exported to the deep ocean (the so called «biological pump»), thus storing away, long -
term over timescales of thousands of years, large amounts of organic matter / CO2.
Not exact matches
Bonds and cash were always a lousy long -
term investment versus equities
over many decades, but
over shorter
timescales the apparent return differences didn't seem so vast as they do today.
Our distinctive contribution was to look at government costs and performance
over a much longer
timescale than had been attempted before and we believe our own study will contribute to transparency and accountability through our unique publicly - available compilation of consistent long -
term time - series of official data.
Although these small time shifts are important for scientists to consider
over geologic
timescales, eclipse predictions are still pretty good in the short
term.
Therefore it cant drive long
term temperature increases
over century
timescales, only short
term fluctuations.
Our results support the use of short -
term manipulative experiments spanning weeks as proxies to understand the potential effects of global change forcing on diatom community structure
over longer
timescales such as years.
Ricarda Winkelmann et al. modeled the response of the Antarctic ice sheet to a wide range of future carbon emissions scenarios
over the long -
term (previous simulations have mainly looked at changes that might occur on a shorter
timescale).
Over very long time periods such that the carbon cycle is in equilibrium with the climate, one gets a sensitivity to global temperature of about 20 ppm CO2 / deg C, or 75 ppb CH4 / deg C. On shorter timescales, the sensitivity for CO2 must be less (since there is no time for the deep ocean to come into balance), and variations over the last 1000 years or so (which are less than 10 ppm), indicate that even if Moberg is correct, the maximum sensitivity is around 15 ppm CO2 / deg C. CH4 reacts faster, but even for short term excursions (such as the 8.2 kyr event) has a similar sensitiv
Over very long time periods such that the carbon cycle is in equilibrium with the climate, one gets a sensitivity to global temperature of about 20 ppm CO2 / deg C, or 75 ppb CH4 / deg C. On shorter
timescales, the sensitivity for CO2 must be less (since there is no time for the deep ocean to come into balance), and variations
over the last 1000 years or so (which are less than 10 ppm), indicate that even if Moberg is correct, the maximum sensitivity is around 15 ppm CO2 / deg C. CH4 reacts faster, but even for short term excursions (such as the 8.2 kyr event) has a similar sensitiv
over the last 1000 years or so (which are less than 10 ppm), indicate that even if Moberg is correct, the maximum sensitivity is around 15 ppm CO2 / deg C. CH4 reacts faster, but even for short
term excursions (such as the 8.2 kyr event) has a similar sensitivity.
Some of these episodes are based on climatology (i.e., averages
over decadal
timescales) as previously mentioned, so they don't allow the study of interannual variability but do give strong evidence of prevailing conditions in the longer
term; this is especially true of the southern hemisphere.
Market forces are largely ineffective in mitigating against Global Warming since markets tend to be relatively short
term in comparison to the slightly longer
timescales over which we will feel the full effects of GW.
Global Temperature is an example of a bulk property, and it does indeed average out
over sufficient time scales; hence showing that whatever chaos, spatio - temporal or otherwise, is present in the system on short
timescales it does not affect our longer
term predictions.
This study, which was supported by the U.S. National Science Foundation, is the first to analyze long -
term trends in rainfall and surface air temperature
over a
timescale of nearly an entire century, the study's lead author, Natalie Thomas, a doctoral candidate in atmospheric and oceanic science at the University of Maryland, told Live Science.
The researches thus «urge extreme caution in attributing short -
term trends (i.e.
over many decades and longer) in US tropical cyclone losses to anthropogenic climate change,» stating that «anthropogenic climate change signals are unlikely to emerge in US tropical cyclone losses on
timescales of less than a century under the projections examined here.»
Why would YOU expect there to be a direct relationship
over this
timescale given the amount of other factors influencing surface temp short
term variability?
I know of no reason why the apparent averaging out of short
term fluctuations
over longer
timescales dominated by forcing was an inevitable result that could have been derived without reference to the actual data.
«Based on the results from this emergence
timescale analysis we urge extreme caution in attributing short -
term trends (i.e.
over many decades and longer) in normalized US tropical cyclone losses to anthropogenic climate change,» says Crompton.
Weather balloons and satellites do a good job of measuring short -
term changes and indeed find a hot spot
over monthly
timescales.
Only
over climate
timescales (typically, 30 years or more), do the long -
term trends emerge that reflect the influence of changes in atmospheric levels of carbon dioxide.»
What they can not easily do, however, is perpetuate a trend in those concentrations, because they themselves go up and down
over much shorter
timescales than the long
term trajectory from preindustial days to today.
Because of the time lags involve in the climate system, short -
term changes can be very difficult to predict, but
over a long enough
timescale, these kinds of effects become all but certain.
This problem is also exacerbated by climate oscillations which operate
over long
timescales, such as the El Niño Southern Oscillation (ENSO), which influences long -
term global cloud cover and may interfere with solar - climate analysis studies (Kuang et al. 1998; Farrar 2000; Roy & Haigh 2010; Laken et al. 2012a).
Calculating a «running average»
over these longer
timescales allows one to more easily see long -
term trends.
But the long
term trend is up, and in the physical world, such trends towards increasing (or decreasing) temperatures
over climatologically relevant
timescales do not happen without a reason.